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Discover 13 open source projects
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dmlc/xgboost
Distributed gradient boosting library for fast and accurate data science solutions
dask/dask
Dask is a Python library for parallel computing and distributed data processing, providing a scalable alternative to NumPy and Pandas.
rapidsai/cudf
A high-performance GPU DataFrame library for data analysis and machine learning workloads.
mars-project/mars
A unified framework for large-scale data computation that scales popular Python data tools like NumPy, Pandas, and Scikit-Learn.
fugue-project/fugue
A unified interface for distributed computing on Spark, Dask and Ray without any rewrites.
dask/dask-tutorial
An interactive tutorial for the Dask distributed computing library, focused on data analysis and manipulation.
dask/distributed
A distributed task scheduler for Dask, a popular Python library for parallel and distributed computing.
narwhals-dev/narwhals
Lightweight and extensible compatibility layer between popular dataframe libraries like Pandas, Dask, and PySpark.
hi-primus/optimus
Agile data preparation workflows made easy with popular Python data science libraries.
holoviz/hvplot
A high-level plotting library for data visualization in Python, built on top of HoloViews.
Nixtla/mlforecast
A scalable machine learning library for time series forecasting in Python.
pytroll/satpy
A Python package for processing earth-observing satellite data with support for common data formats and tools.
itamarst/eliot
Eliot is a Python logging library that provides detailed causality analysis and tracing for complex distributed systems.
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